Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification

This research focuses on utilizing liver CT scans in colorectal carcinoma genomics mutation classification. The liver is the most affected organ by distant metastasis in colon-rectal cancer patients. The study proposes a deep learning-based exploration of classification approach from patient medical imaging. It establishes a pipeline for managing undersized datasets of available CT scans and a baseline study for genomics mutation diagnosis support for preemptive patient follow-up. The method can identify CRC RAS mutation family from CT images with a 0.73 F1 score.

Publication date: 26 Jan 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2401.14206